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MPC optimization control of optical-storage coupling hydrogen production system based on weight calculation
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Jianlin LI1, Zhonghao LIANG1, Wending ZHAO1, Ce LIANG1, Xiaodong YUAN2
Thermal Power Generation | 2024, 53(2) : 59 - 67
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Thermal Power Generation | 2024, 53(2): 59-67
Thermal energy science research
MPC optimization control of optical-storage coupling hydrogen production system based on weight calculation
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Jianlin LI1, Zhonghao LIANG1, Wending ZHAO1, Ce LIANG1, Xiaodong YUAN2
Affiliations
  • 1.Beijing Future Technology Innovation Centre for Electrochemical Energy Storage System Integration (North China University of Technology), Beijing 100144, China
  • 2.State Grid Jiangsu Electric Power Co., Ltd. Research Institute, Nanjing 211103, China
Published: 2024-02-25 doi: 10.19666/j.rlfd.202307119
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Optimization control strategies for hydrogen production system coupled with photovoltaic and energy storage are studied, and a power allocation strategy based on model predictive control that considers multi-objective optimization problems with game relationships is proposed. Firstly, the architecture of the hydrogen production system coupled with photovoltaic and energy storage is constructdd, and the power balance equation that needs to be met during the operation of the hydrogen production system coupled with photovoltaic and energy storage is clarified. Secondly, a composite algorithm model is established by combining the self-adaptive multi-objective particle swarm optimization algorithm with the MPC algorithm, and three objective functions that consider both alkaline electrolyzer (AEL) and energy storage battery characteristics are provided, then the weight coefficients of the optimal control increment are calculated. Finally, the MPC controller model is constructed using the MATLAB-function module, and the calculated weight coefficients of the optimal control increment are applied to the MPC optimization process, thus the online power allocation for the hydrogen production system coupled with photovoltaic and energy storage is ultimately achieved. Through simulation analysis and comparison with two optimization control methods, it is proven that the proposed method in this paper improves the operational indicators of the energy storage system to a certain extent while reduces the fluctuation of AEL input power, it enhances the dynamic power balance ability of the hydrogen production system coupled with photovoltaic and energy storage.

photovoltaic hydrogen production  /  energy storage system  /  MPC  /  weight coefficient  /  power distribution
Jianlin LI, Zhonghao LIANG, Wending ZHAO, Ce LIANG, Xiaodong YUAN. MPC optimization control of optical-storage coupling hydrogen production system based on weight calculation[J]. Thermal Power Generation, 2024 , 53 (2) : 59 -67 . DOI: 10.19666/j.rlfd.202307119
  • Science and Technology Project of State Grid(5400-202318247A-1-1-ZN)
Year 2024 volume 53 Issue 2
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Article Info
doi: 10.19666/j.rlfd.202307119
  • Receive Date:2023-07-29
  • Online Date:2025-12-31
  • Published:2024-02-25
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  • Received:2023-07-29
Funding
Science and Technology Project of State Grid(5400-202318247A-1-1-ZN)
Affiliations
    1.Beijing Future Technology Innovation Centre for Electrochemical Energy Storage System Integration (North China University of Technology), Beijing 100144, China
    2.State Grid Jiangsu Electric Power Co., Ltd. Research Institute, Nanjing 211103, China
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表12种不同金属材料的力学参数

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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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